SKILLEMALL.ai

CD academic-verify

Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication. Routes through perplexity-research for the actual web lookup, then formats results as a citation-checked brain page. Use when a book/article/conversation cites a study and you want to confirm the claim is real, replicated, and accurately characterized.

garrytan/gbrain Agent Skills author: garrytan MIT 1 file body ≈ 2 365 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication.

As a process D 48/100 · Unfinished process — References files that are not bundled: ../conventions/quality.md, ../conventions/brain-first.md, ../perplexity-research/SKILL.md

AnalyzerResearchWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
48/100
Unfinished process
References files that are not bundled: ../conventions/quality.md, ../conventions/brain-first.md, ../perplexity-research/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: gbrain

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../conventions/quality.md
  • warning missing-ref reference to a missing file: ../conventions/brain-first.md
  • warning missing-ref reference to a missing file: ../perplexity-research/SKILL.md
  • warning missing-ref reference to a missing file: people/author-1.md
  • warning missing-ref reference to a missing file: ../conventions/agent-operator-protocol.md
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "mutating"
  • note frontmatter-key unknown frontmatter key "writes_pages"
  • note frontmatter-key unknown frontmatter key "writes_to"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../conventions/quality.md, ../conventions/brain-first.md, ../perplexity-research/SKILL.md
  • 0Tools and files. 5 referenced file(s) missing: ../conventions/quality.md, ../conventions/brain-first.md, ../perplexity-research/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2365 tokens
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 383: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 32 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.